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  Convolutional networks can learn to generate affinity graphs for image segmentation

Turaga, S. C., Murray, J. F., Jain, V., Roth, F., Helmstaedter, M., Briggman, K., et al. (2010). Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Comput, 22(2), 511-38. doi:10.1162/neco.2009.10-08-881.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-17BB-C Version Permalink: https://hdl.handle.net/21.11116/0000-0008-17BC-B
Genre: Journal Article

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http://www.ncbi.nlm.nih.gov/pubmed/19922289 (Any fulltext)
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 Creators:
Turaga, S. C., Author
Murray, J. F., Author
Jain, V., Author
Roth, F., Author
Helmstaedter, Moritz1, Author           
Briggman, K., Author
Denk, W., Author
Seung, H. S., Author
Affiliations:
1Connectomics Department, Max Planck Institute for Brain Research, Max Planck Society, ou_2461695              

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Free keywords: Algorithms *Artificial Intelligence Image Processing, Computer-Assisted/*methods *Mathematical Computing Mathematical Concepts Mathematics Microscopy, Electron/methods *Neural Networks (Computer) *Pattern Recognition, Automated
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 Dates: 2010
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: Other: 19922289
DOI: 10.1162/neco.2009.10-08-881
ISSN: 1530-888X (Electronic)0899-7667 (Linking)
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Title: Neural Comput
  Alternative Title : Neural computation
Source Genre: Journal
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Pages: - Volume / Issue: 22 (2) Sequence Number: - Start / End Page: 511 - 38 Identifier: -